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Fixed Broadband Take-Up in Europe

Author

Listed:
  • Leogrande, Angelo
  • Magaletti, Nicola
  • Cosoli, Gabriele
  • Massaro, Alessandro

Abstract

In this article the value of “Fixed Broadband Take Up” in Europe is investigated. Data are collected from the DESI-Digital Economy and Society Index for 28 countries in the period 2016-2021. Data are analyzed with Panel Data with Fixed Effects and Random Effects. The Fixed Broadband Take-Up value is positively associated with the value of "Connectivity", "Human Capital", "Desi Index", "Fast BB NGA Coverage", "Fixed Very High-Capacity Network VHCN coverage". Fixed Broadband Take-Up value is negatively associated with "Digital Public Services for Businesses", "e-Government", "At least Basic Digital Skills", "At Least Basic Software Skills", "Above Basic Digital Skills", "Advanced Skills and Development", "Integration of Digital Technology", "Broadband Price Index", "Mobile Broadband", "Fixed Broadband Coverage". Subsequently the k-Means algorithm optimized by the Silhouette coefficient was used to identify the number of clusters. The analysis shows the presence of the two clusters. Eight different machine learning algorithms were then used to predict the future value of the "Fixed Broadband Take-Up in Europe". The analysis shows that the most efficient algorithm for the prediction is "ANN-Artificial Neural Network" with an estimated value of the prediction equal to 26.39%.

Suggested Citation

  • Leogrande, Angelo & Magaletti, Nicola & Cosoli, Gabriele & Massaro, Alessandro, 2022. "Fixed Broadband Take-Up in Europe," MPRA Paper 112246, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:112246
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    References listed on IDEAS

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    Cited by:

    1. Marti, Luisa & Puertas, Rosa, 2023. "Analysis of European competitiveness based on its innovative capacity and digitalization level," Technology in Society, Elsevier, vol. 72(C).
    2. Leogrande, Angelo & Magaletti, Nicola & Cosoli, Gabriele & Giardinelli, Vito & Massaro, Alessandro, 2022. "ICT Specialists in Europe," MPRA Paper 112241, University Library of Munich, Germany.
    3. Leogrande, Angelo & Magaletti, Nicola & Cosoli, Gabriele & Massaro, Alessandro, 2022. "e-Government in Europe. A Machine Learning Approach," MPRA Paper 112242, University Library of Munich, Germany.

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    More about this item

    Keywords

    nnovation; and Invention: Processes and Incentives; Management of Technological Innovation and R&D; Diffusion Processes; Open Innovation.;
    All these keywords.

    JEL classification:

    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights
    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • O34 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Intellectual Property and Intellectual Capital

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